Table 6.
LIBSVM testing for Gender with different kernels.
| Kernel with hyperparameters | Number of samples correctly classified | Number of samples misclassified | Accuracy (%) |
|---|---|---|---|
| Linear (C = 256) | 43 | 05 | 89.5833 |
| Polynomial (d = 2, C = 64, g = 0.09153) | 42 | 06 | 85.41 |
| RBF (C = 16, g = 0.08245) | 46 | 02 | 95.8333 |
| Sigmoid (C = 512, g = 0.31626) | 40 | 08 | 83.3333 |